211 search results - page 12 / 43 » Semi-Markov Conditional Random Fields for Information Extrac... |
129
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
Hierarchical models have been extensively studied in various domains. However, existing models assume fixed model structures or incorporate structural uncertainty generatively. In...
121
Voted
ICPP
2006
IEEE
15 years 9 months ago
2006
IEEE
Text Mining is one of the best solutions for today and the future’s information explosion. With the development of modern processor technologies, it will be a mass market deskto...
136
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ICDE
2010
IEEE
16 years 3 months ago
2010
IEEE
Abstract-Unstructured text represents a large fraction of the world's data. It often contain snippets of structured information within them (e.g., people's names and zip ...
130
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ICASSP
2010
IEEE
15 years 3 months ago
2010
IEEE
This paper addresses the problem of developing appropriate features for use in direct modeling approaches to speech recognition, such as those based on Maximum Entropy models or S...
113
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SIGIR
2010
ACM
15 years 7 months ago
2010
ACM
We present a document expansion approach that uses Conditional Random Field (CRF) segmentation to automatically extract salient phrases from ad titles. We then supplement the ad d...